Data for 2019
Environmentally Related Tax Revenue, 2019
2019, as OECD’s 2026 release gives it · stored as published, never rewritten
Environmentally Related Tax Revenue, 2019 covers 136 countries on 5 measures. Solomon Islands is highest, at 4.69958; 6 countries share the lowest reading, 0.00000. The middle country reads 1.28474. Against 2018, 130 values changed (59 up, 71 down), 1 left.
Environmentally Related Tax Revenue · Data for 2019
HighestSolomon Islands
4.69958Lowest6 countries share it
0.00000Shaded by value in five groups of equal size, darkest at the highest end. Neither end is better. The values describe a shape, not a score.
01Values only
The table
Every country and every column of Environmentally Related Tax Revenue, 2019, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 136 countries · select a heading to sort
| Solomon IslandsSLBMelanesia | 4.69958 | 0.000000 | 0.000000 | 0.000000 | 4.699584 | — |
 CroatiaHRVSouthern Europe | 4.11411 | 3.264636 | 0.818678 | 0.000414 | 0.030386 | Low reliability |
 SloveniaSVNSouthern Europe | 4.02342 | 3.222885 | 0.396121 | 0.312792 | 0.091624 | — |
 GuyanaGUYSouth America | 4.01003 | 2.699832 | 1.108203 | 0.201998 | 0.000000 | — |
 SeychellesSYCEastern Africa | 3.94536 | 2.396286 | 1.549070 | 0.000000 | 0.000000 | — |
 GreeceGRCSouthern Europe | 3.82028 | 3.034028 | 0.786257 | — | 0.000000 | Estimated value |
 GuineaGINWestern Africa | 3.43330 | 1.464099 | 0.238389 | 0.000000 | 1.730810 | — |
 LatviaLVANorthern Europe | 3.37507 | 2.872097 | 0.393726 | 0.003274 | 0.105969 | Low reliability |
 NetherlandsNLDWestern Europe | 3.35046 | 1.903305 | 1.014863 | 0.187161 | 0.245129 | — |
 DenmarkDNKNorthern Europe | 3.32505 | 1.712909 | 1.447694 | 0.082807 | 0.081643 | Low reliability |
 ItalyITASouthern Europe | 3.23652 | 2.609826 | 0.619656 | 0.007040 | 0.000000 | Low reliability |
 EstoniaESTNorthern Europe | 3.09194 | 2.862209 | 0.024164 | 0.155521 | 0.050050 | — |
 BulgariaBGREastern Europe | 3.00058 | 2.658623 | 0.290288 | 0.003334 | 0.048337 | Low reliability |
 FranceFRAWestern Europe | 2.98251 | 2.178392 | 0.327604 | 0.458966 | 0.017552 | Low reliability |
 MauritiusMUSEastern Africa | 2.96698 | 1.113055 | 1.658844 | 0.136450 | 0.058630 | — |
 FinlandFINNorthern Europe | 2.81745 | 1.936541 | 0.864924 | 0.008804 | 0.007182 | Low reliability |
 PortugalPRTSouthern Europe | 2.64989 | 1.951234 | 0.680043 | 0.005555 | 0.013058 | — |
 SlovakiaSVKEastern Europe | 2.63456 | 2.208154 | 0.246583 | 0.176694 | 0.003125 | — |
 HungaryHUNEastern Europe | 2.52700 | 1.941528 | 0.317074 | 0.224916 | 0.043479 | Low reliability |
 PolandPOLEastern Europe | 2.52024 | 2.207669 | 0.221212 | 0.012057 | 0.079302 | Low reliability |
 CyprusCYPWestern Asia | 2.49435 | 1.969159 | 0.496990 | 0.000000 | 0.028204 | — |
 CzechiaCZEEastern Europe | 2.37561 | 1.903735 | 0.388460 | 0.039371 | 0.044048 | — |
 AustriaAUTWestern Europe | 2.37401 | 1.404117 | 0.945056 | 0.017534 | 0.007306 | Low reliability |
 MaltaMLTSouthern Europe | 2.36860 | 1.209278 | 0.935556 | 0.209122 | 0.014646 | — |
 RomaniaROUEastern Europe | 2.34722 | 2.204210 | 0.140561 | 0.002453 | — | Estimated value |
 Costa RicaCRICentral America | 2.34234 | 1.480894 | 0.830699 | 0.001338 | 0.029407 | Low reliability |
 HondurasHNDCentral America | 2.32019 | 2.317158 | 0.000000 | 0.000000 | 0.003029 | — |
 GrenadaGRDCaribbean | 2.30130 | 1.916732 | 0.000000 | 0.384567 | 0.000000 | — |
 United KingdomGBRNorthern Europe | 2.29733 | 1.755867 | 0.487492 | 0.034799 | 0.019175 | Low reliability |
 BelgiumBELWestern Europe | 2.24002 | 1.763408 | 0.334929 | 0.106561 | 0.035124 | Low reliability |
 IsraelISRWestern Asia | 2.22077 | 1.376396 | 0.797826 | 0.039173 | — | Low reliability |
 UkraineUKREastern Europe | 2.19443 | 1.806536 | 0.200268 | 0.187627 | 0.000000 | — |
 KenyaKENEastern Africa | 2.12501 | 0.883664 | 1.241344 | 0.000000 | 0.000000 | — |
 GambiaGMBWestern Africa | 2.11028 | 1.920531 | 0.189744 | 0.000000 | 0.000006 | — |
 SwedenSWENorthern Europe | 2.10210 | 1.601827 | 0.446809 | 0.050544 | 0.002922 | Low reliability |
 TürkiyeTURWestern Asia | 2.04914 | 1.385642 | 0.663500 | 0.000000 | 0.000000 | — |
 LithuaniaLTUNorthern Europe | 2.01853 | 1.850739 | 0.040827 | 0.040827 | 0.086133 | — |
 South AfricaZAFSouthern Africa | 2.01662 | 1.657916 | 0.338202 | 0.018842 | 0.001663 | Low reliability |
 MauritaniaMRTWestern Africa | 1.98077 | 1.426891 | 0.105981 | 0.078142 | 0.369759 | — |
 IcelandISLNorthern Europe | 1.97090 | 1.073112 | 0.558180 | 0.333972 | 0.005637 | — |
 LiberiaLBRWestern Africa | 1.95878 | 0.517014 | 1.413448 | 0.000000 | 0.028315 | — |
 South KoreaKOREastern Asia | 1.92641 | 1.445221 | 0.479946 | 0.001179 | 0.000065 | Low reliability |
 EswatiniSWZSouthern Africa | 1.91867 | 1.801404 | 0.117268 | 0.000000 | 0.000000 | — |
 UgandaUGAEastern Africa | 1.89323 | 1.672492 | 0.130157 | 0.090579 | 0.000000 | — |
 Dominican RepublicDOMCaribbean | 1.83023 | 1.348489 | 0.481742 | 0.000000 | 0.000000 | — |
 AustraliaAUSAustralia and New Zealand | 1.82493 | 0.926493 | 0.808862 | 0.050154 | 0.039417 | Low reliability |
 MongoliaMNGEastern Asia | 1.78000 | 0.861037 | 0.723207 | 0.049584 | 0.146174 | — |
 SpainESPSouthern Europe | 1.77532 | 1.435260 | 0.237216 | 0.060767 | 0.042078 | Low reliability |
 LuxembourgLUXWestern Europe | 1.75908 | 1.617486 | 0.124571 | 0.000000 | 0.017020 | — |
 NorwayNORNorthern Europe | 1.72921 | 0.959646 | 0.693451 | 0.073484 | 0.002625 | Low reliability |
 GermanyDEUWestern Europe | 1.72785 | 1.429714 | 0.297913 | — | 0.000226 | Low reliability |
 New ZealandNZLAustralia and New Zealand | 1.70798 | 0.958441 | 0.633189 | 0.108935 | 0.007420 | Low reliability |
 SwitzerlandCHEWestern Europe | 1.67990 | 0.972038 | 0.670807 | 0.023633 | 0.013419 | — |
 UruguayURYSouth America | 1.67507 | 0.946859 | 0.728215 | 0.000000 | 0.000000 | — |
 GhanaGHAWestern Africa | 1.65601 | 1.060573 | 0.595437 | 0.000000 | 0.000000 | — |
 MadagascarMDGEastern Africa | 1.54643 | 1.546433 | 0.000000 | 0.000000 | 0.000000 | — |
 SurinameSURSouth America | 1.42017 | 1.128567 | 0.000000 | 0.000000 | 0.291605 | — |
 BhutanBTNSouthern Asia | 1.39165 | 0.361816 | 0.979475 | 0.050356 | 0.000000 | — |
 BahamasBHSCaribbean | 1.38515 | 0.009678 | 1.375476 | 0.000000 | 0.000000 | — |
 IrelandIRLNorthern Europe | 1.38089 | 0.827730 | 0.548119 | 0.004751 | 0.000288 | — |
 MoroccoMARNorthern Africa | 1.36946 | — | 0.232087 | — | 0.014803 | Estimated value |
 TunisiaTUNNorthern Africa | 1.36849 | 0.617935 | 0.736965 | 0.013586 | 0.000000 | — |
 RwandaRWAEastern Africa | 1.36746 | 0.759549 | 0.607907 | 0.000000 | 0.000000 | — |
 NicaraguaNICCentral America | 1.34310 | 1.328672 | 0.014431 | 0.000000 | 0.000000 | — |
 GeorgiaGEOWestern Asia | 1.34275 | 1.106256 | 0.236495 | — | 0.000000 | Estimated value |
 ChileCHLSouth America | 1.33241 | 0.926182 | 0.332407 | 0.064784 | 0.009032 | Low reliability |
 FijiFJIMelanesia | 1.30797 | 0.000000 | 1.307823 | — | 0.000150 | Estimated value |
 MexicoMEXCentral America | 1.29498 | 1.184145 | 0.107959 | 0.002807 | 0.000069 | Low reliability |
 JamaicaJAMCaribbean | 1.27450 | — | 1.270694 | 0.000000 | 0.003810 | Estimated value |
 JapanJPNEastern Asia | 1.26158 | 0.787391 | 0.459846 | 0.013833 | 0.000506 | Low reliability |
 MaliMLIWestern Africa | 1.25474 | 0.363611 | 0.059117 | 0.000000 | 0.832008 | — |
 SenegalSENWestern Africa | 1.24439 | 1.211577 | 0.000000 | 0.000000 | 0.032816 | — |
 CanadaCANNorthern America | 1.21798 | 0.960113 | 0.239544 | — | — | Estimated value |
 Sri LankaLKASouthern Asia | 1.20746 | 0.388035 | 0.819421 | 0.000000 | 0.000000 | — |
 Saint LuciaLCACaribbean | 1.18368 | 0.367464 | 0.816219 | 0.000000 | 0.000000 | — |
 Sierra LeoneSLEWestern Africa | 1.14581 | 0.965057 | 0.180751 | 0.000000 | 0.000000 | — |
 Burkina FasoBFAWestern Africa | 1.12035 | 1.095595 | 0.015446 | 0.000000 | 0.009307 | — |
 ArgentinaARGSouth America | 1.09247 | 0.825231 | 0.267235 | 0.000000 | 0.000000 | — |
 NauruNRUMicronesia | 1.08571 | 0.000000 | 1.085707 | 0.000000 | 0.000000 | — |
 MaldivesMDVSouthern Asia | 1.07400 | 0.000000 | 1.074002 | 0.000000 | 0.000000 | — |
 PhilippinesPHLSouth-eastern Asia | 1.00316 | 0.657948 | 0.300598 | — | 0.044618 | Estimated value |
 ParaguayPRYSouth America | 0.93978 | 0.880811 | 0.047668 | 0.000000 | 0.011305 | — |
 BoliviaBOLSouth America | 0.93233 | 0.886243 | 0.046082 | 0.000000 | 0.000000 | — |
 ArmeniaARMWestern Asia | 0.89040 | 0.000000 | 0.000000 | 0.000000 | 0.890396 | — |
 KazakhstanKAZCentral Asia | 0.87848 | 0.103205 | 0.105033 | 0.144982 | 0.525257 | — |
 GuatemalaGTMCentral America | 0.86238 | 0.630239 | 0.210016 | 0.022123 | 0.000000 | — |
 EgyptEGYNorthern Africa | 0.84320 | 0.741315 | 0.101887 | 0.000000 | 0.000000 | — |
 LesothoLSOSouthern Africa | 0.82647 | 0.129420 | 0.697046 | 0.000000 | 0.000000 | — |
 VietnamVNMSouth-eastern Asia | 0.81809 | 0.818088 | 0.000000 | — | — | Estimated value |
 LaosLAOSouth-eastern Asia | 0.80307 | 0.000000 | 0.000000 | 0.000000 | 0.803068 | — |
 BrazilBRASouth America | 0.79365 | 0.037564 | 0.756081 | 0.000000 | — | Estimated value |
 MozambiqueMOZEastern Africa | 0.78289 | 0.769433 | 0.000140 | 0.000000 | 0.013313 | — |
 PakistanPAKSouthern Asia | 0.76854 | 0.727492 | 0.041049 | 0.000000 | 0.000000 | — |
 United StatesUSANorthern America | 0.72008 | 0.430102 | 0.274584 | 0.010270 | 0.005122 | Low reliability |
 BarbadosBRBCaribbean | 0.70919 | 0.709191 | 0.000000 | 0.000000 | 0.000000 | — |
 MalawiMWIEastern Africa | 0.69930 | 0.699303 | 0.000000 | 0.000000 | 0.000000 | — |
 MalaysiaMYSSouth-eastern Asia | 0.68962 | 0.072145 | 0.597800 | 0.019677 | — | Estimated value |
 NamibiaNAMSouthern Africa | 0.66276 | 0.662763 | 0.000000 | 0.000000 | 0.000000 | — |
 ChinaCHNEastern Asia | 0.64345 | — | 0.440361 | — | 0.181101 | Estimated value |
 ZambiaZMBEastern Africa | 0.62435 | 0.475843 | 0.114635 | 0.033870 | 0.000000 | — |
 ColombiaCOLSouth America | 0.61397 | 0.444591 | 0.163559 | 0.005815 | 0.000004 | Low reliability |
 CameroonCMRMiddle Africa | 0.59745 | 0.553737 | 0.042416 | 0.001297 | 0.000000 | — |
 PeruPERSouth America | 0.58891 | 0.481327 | 0.107087 | 0.000497 | 0.000000 | — |
 El SalvadorSLVCentral America | 0.56654 | 0.029389 | 0.537150 | 0.000000 | 0.000000 | — |
 TogoTGOWestern Africa | 0.56514 | 0.536217 | 0.020131 | 0.008791 | 0.000000 | — |
 PanamaPANCentral America | 0.47812 | 0.280198 | 0.197925 | 0.000000 | 0.000000 | — |
 EcuadorECUSouth America | 0.39540 | 0.001808 | 0.246605 | 0.146992 | 0.000000 | — |
 GabonGABMiddle Africa | 0.38767 | 0.027861 | 0.090381 | 0.025632 | 0.243797 | — |
 Equatorial GuineaGNQMiddle Africa | 0.38081 | 0.316317 | 0.000000 | 0.000000 | 0.064493 | — |
 TongaTONPolynesia | 0.35866 | 0.000000 | 0.358657 | 0.000000 | 0.000000 | — |
 Antigua and BarbudaATGCaribbean | 0.35116 | 0.085725 | 0.195756 | 0.069678 | 0.000000 | — |
 Cabo VerdeCPVWestern Africa | 0.33300 | 0.000000 | 0.000000 | 0.332996 | 0.000000 | — |
 BotswanaBWASouthern Africa | 0.33012 | 0.072305 | 0.257812 | 0.000000 | 0.000000 | — |
 SingaporeSGPSouth-eastern Asia | 0.27688 | 0.192051 | 0.084830 | — | — | Estimated value |
 NigerNERWestern Africa | 0.25491 | 0.207565 | 0.041398 | 0.000000 | 0.005943 | — |
 LiechtensteinLIEWestern Europe | 0.24076 | — | 0.240760 | — | 0.000000 | Estimated value |
 Marshall IslandsMHLMicronesia | 0.22480 | 0.224801 | 0.000000 | 0.000000 | 0.000000 | — |
 ChadTCDMiddle Africa | 0.21244 | 0.202913 | 0.009527 | 0.000000 | 0.000000 | — |
 DR CongoCODMiddle Africa | 0.20214 | 0.142653 | 0.030996 | 0.000000 | 0.028490 | — |
 Trinidad and TobagoTTOCaribbean | 0.19719 | 0.014550 | 0.182638 | 0.000000 | 0.000000 | — |
 AzerbaijanAZEWestern Asia | 0.14519 | 0.000000 | 0.145190 | 0.000000 | 0.000000 | — |
 KyrgyzstanKGZCentral Asia | 0.12890 | 0.000000 | 0.128896 | 0.000000 | 0.000000 | — |
 BelizeBLZCentral America | 0.12130 | 0.010886 | 0.110413 | 0.000000 | 0.000000 | — |
 Côte d’IvoireCIVWestern Africa | 0.10085 | 0.000877 | 0.057270 | 0.032304 | 0.010397 | — |
 Hong KongHKGEastern Asia | 0.08249 | 0.000000 | 0.082495 | 0.000000 | 0.000000 | — |
 Papua New GuineaPNGMelanesia | 0.03459 | 0.000000 | 0.034588 | 0.000000 | 0.000000 | — |
 BangladeshBGDSouthern Asia | 0.03154 | 0.000000 | 0.031544 | 0.000000 | 0.000000 | — |
 Republic of the CongoCOGMiddle Africa | 0.02118 | 0.000000 | 0.021179 | 0.000000 | 0.000000 | — |
 NigeriaNGAWestern Africa | 0.02078 | 0.000000 | 0.020784 | 0.000000 | 0.000000 | — |
 SomaliaSOMEastern Africa | 0.00001 | 0.000004 | 0.000004 | 0.000004 | 0.000000 | — |
 Bosnia and HerzegovinaBIHSouthern Europe | 0.00000 | — | — | 0.000000 | 0.000000 | Estimated value |
 BruneiBRNSouth-eastern Asia | 0.00000 | 0.000000 | — | 0.000000 | — | Estimated value |
 CambodiaKHMSouth-eastern Asia | 0.00000 | 0.000000 | 0.000000 | 0.000000 | — | Estimated value |
 MyanmarMMRSouth-eastern Asia | 0.00000 | 0.000000 | — | 0.000000 | 0.000000 | Estimated value |
 North MacedoniaMKDSouthern Europe | 0.00000 | — | — | 0.000000 | 0.000000 | Estimated value |
 SamoaWSMPolynesia | 0.00000 | — | 0.000000 | 0.000000 | 0.000000 | Estimated value |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- Solomon Islands4.69958
- Croatia4.11411
- Slovenia4.02342
- Guyana4.01003
- Seychelles3.94536
Lowest
- Samoashared0.00000
- Myanmarshared0.00000
- North Macedoniashared0.00000
- Cambodiashared0.00000
- Bruneishared0.00000
Neither end is better. The values describe a shape, not a score. The middle country reads 1.28474. “Shared” marks a value another country also holds.
Each measure’s ends
Energy tax bases (% of GDP)
Highest
Croatia3.264636Lowest18 share it
Middle country: 0.861037
Transport tax bases (% of GDP)
Highest
Mauritius1.658844Lowest17 share it
Middle country: 0.238966
Pollution tax bases (% of GDP)
Highest
France0.458966Lowest65 share it
Middle country: 0.000000
Resource tax bases (% of GDP)
Highest
Solomon Islands4.699584Lowest62 share it
Middle country: 0.000006
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −1countries joined / left
- 130values changed, of 136 in both
- 59 · 71rose · fell
- 6unchanged
Rose most
- Liberia1.29353 → 1.95878+0.66525
- Mexico0.89368 → 1.29498+0.40130
- Bulgaria2.61823 → 3.00058+0.38235
- Sierra Leone0.79181 → 1.14581+0.35399
- Senegal0.96009 → 1.24439+0.28431
Fell most
- Solomon Islands6.17123 → 4.69958−1.47165
- Nauru2.18896 → 1.08571−1.10325
- Sri Lanka1.76134 → 1.20746−0.55388
- Bhutan1.81828 → 1.39165−0.42663
- Cyprus2.90126 → 2.49435−0.40690
− IndiaBoth years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from OECD’s 2026 release, recalculated on one method. It can differ from what was first published for 2019.
131 distinct values among 136
Values are stored exactly as published, to 19 decimals. 6 countries share 0.00000. Countries sharing a value share a position too.
Which end is better
Neither end is better. The values describe a shape, not a score.
120 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
Some readings carry a flag
OECD marks readings it considers estimates or provisional. The flags in this file: Low reliability, Estimated value.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
136 rows · 13 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download environmental-tax-revenue-2019-nations-inquiry.csv - ↗
The publisher’s original
OECD’s own file, on its own site.
A..TAXREV._T+CAT_ENE+CAT_TRA+CAT_POL+CAT_RES._T.PT_B1GQ._Z
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: OECD Terms and Conditions — data clause. The OECD’s own terms for its data: reuse, including commercial reuse, with the OECD credited as the source.
Cite this edition
OECD (2019). Environmentally Related Tax Revenue, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/environmental-tax-revenue/2019
0631 held
Other years
‹ The year before
Environmentally Related Tax Revenue, 2018137 countries
The year after ›
Environmentally Related Tax Revenue, 2020135 countries
All of them
Environmentally Related Tax Revenue: every year31 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Environmentally Related Tax Revenue, 2019: questions and answers
Which country has the highest environmental tax revenue in Environmentally Related Tax Revenue, 2019?
Solomon Islands, at 4.69958, of the 136 countries in the file.
What year does Environmentally Related Tax Revenue, 2019 describe?
2019.
How many countries does Environmentally Related Tax Revenue, 2019 cover?
136.
Where can I download Environmentally Related Tax Revenue, 2019?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Environmentally Related Tax Revenue, 2019 the newest?
No. The newest held here is Environmentally Related Tax Revenue, 2024.